1992
DOI: 10.1109/81.250161
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On the realization of discrete cosine transform using the distributed arithmetic

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Cited by 75 publications
(24 citation statements)
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“…Recently, we found that it is possible to realize a prime length DCT through two half-length cyclic correlations, which results in avery regular structure. Hence, it is very suitable for VLSI implementation [2,3].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, we found that it is possible to realize a prime length DCT through two half-length cyclic correlations, which results in avery regular structure. Hence, it is very suitable for VLSI implementation [2,3].…”
Section: Introductionmentioning
confidence: 99%
“…The rationale for this fact is that the data flow plays a central role in designing a VLSI architecture. Thus, the use of regular and modular computational structures such as cyclic convolution and circular correlation [7][8][9][10] has been proved to offer good implementation solutions for the discrete transforms using systolic arrays [11] and distributed-arithmetic [12]. They lead to efficient VLSI implementations with low I/O cost and reduced hardware complexity, high speed and a regular and modular hardware structure.…”
Section: Introductionmentioning
confidence: 99%
“…In [3], we proved that any DCT of odd prime size P can be decomposed into one fP-1V2-point cyclic convolution and one (P-IVz-point skew-cyclic convo:ution at no cost of multiplication. As the minimum number of factorial polynomials of the polynomial z(p-1)!2-1 is 2, that implies 2P-5 real multiplications are required for the realization of the P-point DCT.…”
Section: Short Length Dct Algorithmmentioning
confidence: 99%
“…Hence, though some of the development in this paper refer to correlations, they apply equally well to convolutions. Second, theoretical minimum multiplicative requirements for the realization of the DCT are derived based on the modification of the results and the algorithm proposed in [3] respectively. Then we will provide some short length DCT algorithms based on the derived results and some other effective DCT algorithms[SJ, which support the PFM algorithm [6] with reduced arithmetic complexity.…”
Section: + Lmentioning
confidence: 99%
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